Items where Author is "Vũ Thị Ly"

An, T.T.T. and Hieu, N.T. and Vu, L. (2023) Improving Gastric Lesion Detection by using Specular Highlights Removal Algorithm and Deep Learning Approach. In: 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023, 27 November 2023 Through 29 November 2023, Hanoi.

Tran, A.T. and Thai, D.S. and Trinh, B.A. and Vi, B.N. and Vu, L. (2023) Improving Loss Function for Polyp Detection Problem. In: 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, 24 July 2023 Through 26 July 2023, Phuket.

Hoang, T.B. and Vu, L. and Nguyen, Q.U. (2022) A Data Sampling and Two-Stage Convolution Neural Network for IoT Devices Identification. In: Conference of 2022 RIVF International Conference on Computing and Communication Technologies, RIVF 2022, 20 December 2022 Through 22 December 2022, Ho Chi Minh City.

Vu, L. and Cao, V.L. and Nguyen, Q.U. and Nguyen, D.N. and Hoang, D.T. and Dutkiewicz, E. (2022) Learning Latent Representation for IoT Anomaly Detection. IEEE Transactions on Cybernetics, 52 (5). pp. 3769-3782. ISSN 21682267

Vu, Ly and Nguyen, Quang Uy and Hoang, Dinh Thai and Nguyen, Diep N. and Dutkiewicz, Eryk (2022) A Novel Transfer Learning Model for Intrusion Detection Systems in IoT Networks. Springer International Publishing, 45 – 65. ISBN 978-303109640-2; 978-303109639-6

Vu, T.A. and Tran, T.P. and Vu, L. and Nguyen, Q.U. (2022) Shrink AutoEncoder for Federated Learning-based IoT Anomaly Detection. In: Conference of 9th NAFOSTED Conference on Information and Computer Science, NICS 2022, 31 October 2022 Through 1 November 2022, Ho Chi Minh City.

Vu, Thi Ly (2021) Developing deep neural networks for network attack detection. Doctoral thesis, Le Quy Don Technical University.

Vu, L. and Nguyen, Q.U. and Nguyen, D.N. and Hoang, D.T. and Dutkiewicz, E. (2020) Deep Transfer Learning for IoT Attack Detection. IEEE Access, 8: 9110582. pp. 107335-107344. ISSN 21693536

Vu, L. and Nguyen, Q.U. (2019) An ensemble of activation functions in autoencoder applied to IoT anomaly detection. In: 6th NAFOSTED Conference on Information and Computer Science, NICS 2019, 12 December 2019 through 13 December 2019.

Vu, L. and Thuy, H.V. and Nguyen, Q.U. and Ngoc, T.N. and Nguyen, D.N. and Hoang, D.T. and Dutkiewicz, E. (2018) Time Series Analysis for Encrypted Traffic Classification: A Deep Learning Approach. In: 18th International Symposium on Communication and Information Technology, ISCIT 2018, 26 September 2018 through 29 September 2018.

Ho, K.G. and Vu, L. and Nguyen, N.H. and Nguyen, H.M. (2017) Speed up querying encrypted data on outsourced database. In: 2017 International Conference on Machine Learning and Soft Computing, ICMLSC 2017, 13 January 2017 through 16 January 2017.

Vu, L. and Bui, C.T. and Nguyen, Q.U. (2017) A deep learning based method for handling imbalanced problem in network traffic classification. In: 8th International Symposium on Information and Communication Technology, SoICT 2017, 7 December 2017 through 8 December 2017.

Vu, L. and Tra, D.V. and Nguyen, Q.U. (2016) Learning from imbalanced data for encrypted traffic identification problem. In: 7th Symposium on Information and Communication Technology, SoICT 2016, 8 December 2016 through 9 December 2016.

Nguyen, T.T. and Vu, L.T. and Nguyen, A.T. and Nguyen, Q.U. and Nguyen, T.A.H. and Hai, L.D. (2015) Unsupervised anomaly detection in online game. In: 6th International Symposium on Information and Communication Technology, SoICT 2015, 3 December 2015 through 4 December 2015.